Automatic Speech Recognition
Transformers
PyTorch
TensorBoard
Safetensors
Malasar
whisper
Generated from Trainer
Instructions to use vrclc/Malasar_small_DTF with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use vrclc/Malasar_small_DTF with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="vrclc/Malasar_small_DTF")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("vrclc/Malasar_small_DTF") model = AutoModelForSpeechSeq2Seq.from_pretrained("vrclc/Malasar_small_DTF") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4036d89891291408db4feddbd23317bdfbf86d17190106f113b27e25d64479cd
- Size of remote file:
- 4.8 kB
- SHA256:
- 48c6dddbaa608b32200dfbe776f1e767c2bfe674feaa720678fe33f95baec889
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